A data traceability method to improve data quality in a big data environment

In the actual project of data sharing and data governance, the problems of data heterogeneity and low data quality have not been solved. Data quality detection based on syntax rules can effectively find data quality problems, but it had not improved the data quality, especially in a variety of heterogeneous data source environments. This paper designs a data governance model based on data traceability, and we can get data feedback and revision through this model. The proposed method considers the different ownership of data and may form a closed-loop data service chain including effective data validation, data tracking, and data revision, data release. The analysis of the case shows that the method is effective to improve the data quality and meet the requirements of data security also.